alchemab / antiberta
Public repository describing training and testing of AntiBERTa.
☆57Updated last year
Alternatives and similar repositories for antiberta:
Users that are interested in antiberta are comparing it to the libraries listed below
- Fitness landscapes for antibodies☆60Updated last month
- ☆68Updated 4 years ago
- Antibody paratope prediction using Graph Neural Networks with minimal feature vectors☆34Updated last year
- Convenience Python APIs for antibody numbering using ANARCI☆93Updated 3 weeks ago
- ☆59Updated 3 years ago
- Finetuning ProGen2 protein language model for generation of protein sequences from selected protein families.☆48Updated 2 weeks ago
- Tool for modelling the CDRs of antibodies☆47Updated 2 years ago
- Tool for rapid clustering of antibody models by the structure of their CDRs.☆19Updated 3 months ago
- Protein design and variant prediction using autoregressive generative models☆95Updated last year
- ☆100Updated 2 years ago
- Graphinity: Equivariant Graph Neural Network Architecture for Predicting Change in Antibody-Antigen Binding Affinity☆27Updated last month
- Predict the structure of immune receptor proteins☆126Updated 3 weeks ago
- Official code repository for the paper "ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers"☆100Updated last month
- open source code for Tencent tFold☆81Updated 3 weeks ago
- Antibody-Antigen Docking and Affinity Benchmark☆69Updated 4 years ago
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆24Updated 10 months ago
- Inference code for PoET: A generative model of protein families as sequences-of-sequences☆60Updated 9 months ago
- ☆19Updated 8 months ago
- Help file for running the scripts to learn and evaluate graph convolution networks for epitope and paratope prediction☆32Updated 4 years ago
- Python code for fine-tuning AlphaFold to perform protein-peptide binding predictions☆144Updated last year
- ☆49Updated 8 months ago
- Protein language model trained on coding DNA☆46Updated 4 months ago
- ☆45Updated last year
- Tutorials, cheat sheets, and other resources for computational methods for protein design.☆107Updated last year
- Machine learning models for antibody sequences in PyTorch☆38Updated 3 years ago
- AbLang: A language model for antibodies☆136Updated last year
- Code for the paper "DLAB - Deep learning methods for structure-basedvirtual screening of antibodies"☆31Updated 2 years ago
- PLM based active learning model for protein engineering☆72Updated 6 months ago
- ☆96Updated 7 months ago
- Generative Language Modeling for Antibody Design☆138Updated 4 months ago